| Page 853 | Kisaco Research

Author:

Sutanay Choudhury

Chief Scientist, Data Science
Pacific Northwest National Laboratory

Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.

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Sutanay Choudhury

Chief Scientist, Data Science
Pacific Northwest National Laboratory

Sutanay Choudhury is Chief Scientist, Data Sciences in Advanced Computing, Mathematics and Data division at Pacific Northwest National Laboratory, and the co-director of the Computational and Theoretical Chemistry Institute. His current research focuses on scalable graph representation learning and neural-symbolic reasoning, with applications to chemistry, medical informatics and power grid. Sutanay has more than a decade's experience in developing artificial intelligence and data analytics systems that extract, learn and search for patterns from the "complex web of things" - webs that emerge from atomistic interaction in molecular networks, to interaction between diseases, drugs and genes, or the web of human knowledge captured in knowledge bases such as Wikipedia, PubChem and SNOMED. His research has been supported by US Department of Energy, US Department of Homeland Security, DARPA and US Department of Veterans Affairs.

When bridging the computational gap between edge devices and deep learning algorithms, it is necessary to optimize across the hardware, model architecture and software layers, in order to achieve reliable, low latency and energy-efficient performance. For vision specifically, where accuracy is usually very important, trade-offs between model performance and energy efficiency can dictate many engineering choices. This panel will look into how accelerators, if properly integrated, can solve some of these problems, and cover progress at the model architecture level (i.e. compression, pruning, multimodal inferencing) that is helping to deliver high performance, low latency, and energy-efficient inference at the edge.

Moderator

Author:

Jeff White

CTO, Edge
Dell Technologies

Jeff is the Industry CTO of Dell Technologies of the Automotive sector, specifically in the area of Connected and Autonomous Vehicles and overall Edge Technology strategy lead. Jeff is responsible for leading the team that is developing the overall Dell Technologies technology strategy development, architectural direction and product requirements for the Intelligent Connected Vehicle platform.

He also is the Chairman of the Dell Automotive Design Authority Council responsible for the technical solution design. In his role as Edge Technology Lead he is driving the development of a Dell Technology wide Edge platform including the physical edge systems, heterogenous compute, memory/storage, environment, security, data management, control plane stack and automation/orchestration.

Previously, Jeff has held senior roles at an early stage artificial intelligence/machine reasoning based process automation technology provider and Elefante Group a stratospheric wireless communications platform as CTO. He also held senior positions at Hewlett Packard Enterprise, Ericsson and Alcatel-Lucent where he led technology initiatives, solutions development, business development and services delivery.
Earlier in his career White served in leadership roles at BellSouth and Cingular Wireless (now AT&T). At Cingular, he led the National Transport Infrastructure Engineering with responsibility for national transport, VoIP & IMS engineering. At BellSouth (now AT&T) he led the Broadband Internet Operations & Support organization which included broadband access tier two technical support, customer networking equipment business, broadband OSS & end-to-end process.

White holds a Bachelor of Science degree in Electrical Engineering from Southern Polytechnic University. He also served as Chairman of the Tech Titans Technology Association of North Texas representing over 300 Technology companies in the greater North Texas community. He also served on the North Texas Regional committee of the Texas Emerging Technology fund under Governor Rick Perry.

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Jeff White

CTO, Edge
Dell Technologies

Jeff is the Industry CTO of Dell Technologies of the Automotive sector, specifically in the area of Connected and Autonomous Vehicles and overall Edge Technology strategy lead. Jeff is responsible for leading the team that is developing the overall Dell Technologies technology strategy development, architectural direction and product requirements for the Intelligent Connected Vehicle platform.

He also is the Chairman of the Dell Automotive Design Authority Council responsible for the technical solution design. In his role as Edge Technology Lead he is driving the development of a Dell Technology wide Edge platform including the physical edge systems, heterogenous compute, memory/storage, environment, security, data management, control plane stack and automation/orchestration.

Previously, Jeff has held senior roles at an early stage artificial intelligence/machine reasoning based process automation technology provider and Elefante Group a stratospheric wireless communications platform as CTO. He also held senior positions at Hewlett Packard Enterprise, Ericsson and Alcatel-Lucent where he led technology initiatives, solutions development, business development and services delivery.
Earlier in his career White served in leadership roles at BellSouth and Cingular Wireless (now AT&T). At Cingular, he led the National Transport Infrastructure Engineering with responsibility for national transport, VoIP & IMS engineering. At BellSouth (now AT&T) he led the Broadband Internet Operations & Support organization which included broadband access tier two technical support, customer networking equipment business, broadband OSS & end-to-end process.

White holds a Bachelor of Science degree in Electrical Engineering from Southern Polytechnic University. He also served as Chairman of the Tech Titans Technology Association of North Texas representing over 300 Technology companies in the greater North Texas community. He also served on the North Texas Regional committee of the Texas Emerging Technology fund under Governor Rick Perry.

Panellists

Author:

Keith Kressin

CEO
MemryX

I currently serve as CEO of MemryX, Inc., an innovative Edge AI startup founded by professors at the University of Michigan in Ann Arbor. Dr Wei Lu is our co-founder and current CTO, and an expert in memories and neuromorphic computing. We plan to enter production in 2023 with the world's best Edge AI solution.

Prior to MemryX, I worked at Qualcomm for 13+ wonderful years, leading a variety of activities including the Snapdragon roadmap, all technologies for application processing, company strategy, competitive analysis, and more. I joined just prior to the first Android smartphone being launched. My most recent role was as SVP/GM helping Qualcomm diversify from smartphones, and leading several growth businesses including AR/VR, AI, PCs, and gaming. I very much enjoyed working with US partners like Facebook, Microsoft and Google in addition to international customers like Vivo, Oppo, Xiaomi, Sony, Samsung, and so many more.

Prior to Qualcomm, I was able to work at Intel for 8+ years in a number of technology, product, and planning roles in different market segments including laptops, desktops and servers. Together we accomplished a # of industry firsts.

During my time at Intel and Qualcomm, I was deeply engaged in shipping substantially more than 1 Billion advanced chips for mobile personal computing devices. I look forward to helping to grow the use of Edge AI in a number of clients as the world continuously becomes both more intelligent and more connected.

Beyond the world of technology, working with smart/dedicated/honest/ethical people is what keeps me enthused to work each day.

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Keith Kressin

CEO
MemryX

I currently serve as CEO of MemryX, Inc., an innovative Edge AI startup founded by professors at the University of Michigan in Ann Arbor. Dr Wei Lu is our co-founder and current CTO, and an expert in memories and neuromorphic computing. We plan to enter production in 2023 with the world's best Edge AI solution.

Prior to MemryX, I worked at Qualcomm for 13+ wonderful years, leading a variety of activities including the Snapdragon roadmap, all technologies for application processing, company strategy, competitive analysis, and more. I joined just prior to the first Android smartphone being launched. My most recent role was as SVP/GM helping Qualcomm diversify from smartphones, and leading several growth businesses including AR/VR, AI, PCs, and gaming. I very much enjoyed working with US partners like Facebook, Microsoft and Google in addition to international customers like Vivo, Oppo, Xiaomi, Sony, Samsung, and so many more.

Prior to Qualcomm, I was able to work at Intel for 8+ years in a number of technology, product, and planning roles in different market segments including laptops, desktops and servers. Together we accomplished a # of industry firsts.

During my time at Intel and Qualcomm, I was deeply engaged in shipping substantially more than 1 Billion advanced chips for mobile personal computing devices. I look forward to helping to grow the use of Edge AI in a number of clients as the world continuously becomes both more intelligent and more connected.

Beyond the world of technology, working with smart/dedicated/honest/ethical people is what keeps me enthused to work each day.

Author:

Vinesh Sukumar

Head of AI Product Management
Qualcomm

Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

•He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

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Vinesh Sukumar

Head of AI Product Management
Qualcomm

Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

•He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Author:

Pushpak Pujari

Head of Product - Camera Software and Video Products
Verkada

Pushpak leads Product Management at Verkada where he runs their Cloud Connected Security Camera product lines. He is responsible for using AI and Computer Vision on the camera to improve video and analytics capabilities and reduce incidence response time by surfacing only meaningful events in real-time, with minimal impact on bandwidth.

Before Verkada, Pushpak led Product Management at Amazon where he built the end-to-end privacy-preserving ML platform at Amazon Alexa, and launched a no-code platform to design and deploy IoT automation workflows on edge devices at Amazon Web Services (AWS). Previous to Amazon, he spent 4 years at Sony in Japan building Sony’s flagship mirrorless cameras.

Pushpak has extensive experience of starting, running and growing multi-million dollar products used by millions of users at the fastest growing companies in the US and the world. He holds an MBA from Wharton and Bachelors in Electrical Engineering from IIT Delhi, India

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Pushpak Pujari

Head of Product - Camera Software and Video Products
Verkada

Pushpak leads Product Management at Verkada where he runs their Cloud Connected Security Camera product lines. He is responsible for using AI and Computer Vision on the camera to improve video and analytics capabilities and reduce incidence response time by surfacing only meaningful events in real-time, with minimal impact on bandwidth.

Before Verkada, Pushpak led Product Management at Amazon where he built the end-to-end privacy-preserving ML platform at Amazon Alexa, and launched a no-code platform to design and deploy IoT automation workflows on edge devices at Amazon Web Services (AWS). Previous to Amazon, he spent 4 years at Sony in Japan building Sony’s flagship mirrorless cameras.

Pushpak has extensive experience of starting, running and growing multi-million dollar products used by millions of users at the fastest growing companies in the US and the world. He holds an MBA from Wharton and Bachelors in Electrical Engineering from IIT Delhi, India

Author:

Sandeep Garg

Director, Engineering
Siemens EDA

Sandeep Garg is the Director of Engineering for Catapult at Siemens EDA, responsible for our High-Level Synthesis (HLS) and verification products.

Sandeep has more than 26 years of experience in EDA industry, 18+ of which have been HLS and verification at Siemens, Mentor Graphics and Calypto in various leadership roles in engineering. Catapult’s bottom-up and low-power solutions were launched under Sandeep’s leadership. Sandeep has been instrumental in building up an extensive network of partnerships and ecosystem with academia and research institutes around Catapult HLS, helping evangelize the HLS tools and methodologies and collaborating with cutting edge research initiatives. Before HLS, Sandeep was an architect and a technology and program manager for Mentor Graphics’ Precision FPGA synthesis product line, helping replace their old HDL frontend with a modern alternative and contributing significantly to both its frontend and backend optimizations.

 

Sandeep came to Mentor Graphics via IKOS Systems acquisition where he was working on hardware-assisted co-simulation products and RTL compiler technology that have since been adopted by many SEDA products.

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Sandeep Garg

Director, Engineering
Siemens EDA

Sandeep Garg is the Director of Engineering for Catapult at Siemens EDA, responsible for our High-Level Synthesis (HLS) and verification products.

Sandeep has more than 26 years of experience in EDA industry, 18+ of which have been HLS and verification at Siemens, Mentor Graphics and Calypto in various leadership roles in engineering. Catapult’s bottom-up and low-power solutions were launched under Sandeep’s leadership. Sandeep has been instrumental in building up an extensive network of partnerships and ecosystem with academia and research institutes around Catapult HLS, helping evangelize the HLS tools and methodologies and collaborating with cutting edge research initiatives. Before HLS, Sandeep was an architect and a technology and program manager for Mentor Graphics’ Precision FPGA synthesis product line, helping replace their old HDL frontend with a modern alternative and contributing significantly to both its frontend and backend optimizations.

 

Sandeep came to Mentor Graphics via IKOS Systems acquisition where he was working on hardware-assisted co-simulation products and RTL compiler technology that have since been adopted by many SEDA products.

Author:

Lisa Cohen

Director of Data Science for Gemini, Google Assistant, and Search Platforms
Google

Lisa Cohen is Director of Data Science for Gemini (formerly "Bard"), Google Assistant, and Search Platforms. She leads an organization of data scientists at Google, responsible for using data to create excellent user experiences across these products, and partnering closely with Product, Engineering, and User Experience Research. Formerly, Lisa was Head of Data Science and Engineering for Twitter, helping drive the strategy and direction of the Twitter product, through machine learning, metric development, experimentation and causal analyses. Before Twitter, Lisa led the Azure Customer Growth Analytics organization as part of Microsoft Cloud Data sciences. Her team was responsible for analyzing OKRs, informing data-driven decisions, and developing data science models to help customers be successful on Azure. Lisa worked at Microsoft for 17yrs, and also helped develop multiple versions of Visual Studio. She holds Bachelor and Masters degrees from Harvard in Applied Mathematics. You can follow Lisa on LinkedIn and Medium.

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Lisa Cohen

Director of Data Science for Gemini, Google Assistant, and Search Platforms
Google

Lisa Cohen is Director of Data Science for Gemini (formerly "Bard"), Google Assistant, and Search Platforms. She leads an organization of data scientists at Google, responsible for using data to create excellent user experiences across these products, and partnering closely with Product, Engineering, and User Experience Research. Formerly, Lisa was Head of Data Science and Engineering for Twitter, helping drive the strategy and direction of the Twitter product, through machine learning, metric development, experimentation and causal analyses. Before Twitter, Lisa led the Azure Customer Growth Analytics organization as part of Microsoft Cloud Data sciences. Her team was responsible for analyzing OKRs, informing data-driven decisions, and developing data science models to help customers be successful on Azure. Lisa worked at Microsoft for 17yrs, and also helped develop multiple versions of Visual Studio. She holds Bachelor and Masters degrees from Harvard in Applied Mathematics. You can follow Lisa on LinkedIn and Medium.

 

Behnam Bastani

Sr Director, Core AI
Roblox

Behnam Bastani is Senior Director of Engineering for AI & ML at Roblox, where he is building a collaborative immersive computing platform, reaching variable computing devices over heterogeneous network conditions. He is currently overseeing adaptive engine platform and on device AI/ML at Roblox.

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Behnam Bastani

Sr Director, Core AI
Roblox

Behnam Bastani

Sr Director, Core AI
Roblox

Behnam Bastani is Senior Director of Engineering for AI & ML at Roblox, where he is building a collaborative immersive computing platform, reaching variable computing devices over heterogeneous network conditions. He is currently overseeing adaptive engine platform and on device AI/ML at Roblox.

Behnam has 20+ years experience in building, scaling up and leveraging software, hardware and operating system organizations across multiple sites to innovate and launch new experiences on low powered consumer products. His product focus includes Graphics & AI based Rendering, Mobile Display System, Cloud Computing and on-Device AI.

Generative AI workloads are breaking every aspect of the data center. As the capabilities of AI increase, so does its demand. The conventional path of performance improvement in legacy processors has stagnated, providing diminishing returns. This raises concerns on whether we may ever fully realize the potential of AI. In this talk we will share how combining our software-first methodology and novel computer arithmetic leads to breakthrough performance gains in general purpose accelerated computing, pushing developers to the limit of physics.

Author:

Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

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Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

Author:

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

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Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

Author:

Vikas Chandra

Senior Director, AI
Meta

Vikas Chandra is Senior Director at Meta Reality Labs where he works on AI research focusing on AR and VR products. Prior to Meta, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 120+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.

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Vikas Chandra

Senior Director, AI
Meta

Vikas Chandra is Senior Director at Meta Reality Labs where he works on AI research focusing on AR and VR products. Prior to Meta, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 120+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.


This talk delves into the application of a hybrid cascaded architecture for optimized wakeword detection, focusing on its implementation in Roku's Voice Remote Pro. The importance of accurate wakewords for handsfree operation is introduced, followed by a discussion on how the hybrid cascaded architecture addresses the challenges in wakeword detection. These challenges include accuracy, low latency, low power consumption, noisy environments, and different pronunciations. A hybrid approach, which combines edge and cloud models, is presented as a solution to effectively manage these challenges. The cascaded architecture, a two-stage process involving a remote keyword spotter and a cloud-based validation model, is explained, highlighting how it reduces false rejects while manages false accepts. This talk concludes by discussing the effectiveness of this approach and its successful application in Roku's Voice Remote Pro. A Q&A session follows for further discussion.

Author:

Frank Maker

Director, Software - Remotes, Voice and EdgeML
Roku

Frank Maker is Director of Software at Roku - his team is responsible for Voice, EdgeML, and Remote software He is the engineering owner for remotes and develops innovative EdgeML models for Roku´s new products.

In his role, Frank is responsible for:

* Embedded machine learning (TinyML / EdgeML)
* Microcontroller firmware development
* Embedded Linux firmware development (RokuOS)
* Embedded machine learning model development and deployment
* Automated EdgeML testing
* Wi-Fi remote development

 

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Frank Maker

Director, Software - Remotes, Voice and EdgeML
Roku

Frank Maker is Director of Software at Roku - his team is responsible for Voice, EdgeML, and Remote software He is the engineering owner for remotes and develops innovative EdgeML models for Roku´s new products.

In his role, Frank is responsible for:

* Embedded machine learning (TinyML / EdgeML)
* Microcontroller firmware development
* Embedded Linux firmware development (RokuOS)
* Embedded machine learning model development and deployment
* Automated EdgeML testing
* Wi-Fi remote development